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Senior Manager, Quality Engineering at Palo Alto Networks. This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.
Job Responsibility
Own & Lead Product Quality: Define, implement, and evolve the comprehensive QA strategy, test frameworks, and quality metrics across all product lines
End-to-End Ownership: Take ultimate accountability for the quality of releases, ensuring software is scalable, secure, and high-performing
Cross-Functional Collaboration: Partner closely with Product Management, Engineering, and DevOps to embed quality standards early in the SDLC (Shift-Left approach)
Risk Management: Identify, assess, and mitigate product quality risks before they impact production
Drive AI Transformation & Innovation: Research, evaluate, and implement cutting-edge AI/ML-driven testing tools and generative AI utilities to optimize test case generation, execution, and maintenance
Team Upskilling: Act as a mentor and change agent, designing training pathways to help traditional manual and automation QA engineers transition into AI-augmented testing roles
Smart Automation: Evolutionize existing automation frameworks by incorporating predictive analytics, self-healing test scripts, and intelligent bug-clustering
Efficiency Metrics: Establish baseline metrics to measure the ROI, speed, and accuracy improvements gained through AI adoption
People & Team Leadership: Foster a high-performance culture rooted in continuous learning, innovation, and psychological safety
Resource Planning: Manage headcount, budget, and resource allocation across multiple agile squads
Performance Management: Set clear goals, conduct regular performance reviews, and guide career development for QA leads and engineers
Requirements
10+ years of experience in Software Quality Assurance, with at least 5+ years in a dedicated people management or leadership role
Proven track record of owning product quality end-to-end for scalable SaaS, cloud, or enterprise applications
Demonstrated experience leading a team through a significant technological pivot (e.g., manual-to-automation or automation-to-AI transition)
Deep expertise in modern automation frameworks (e.g., Playwright, Selenium, Pytest) and CI/CD pipelines (Jenkins, GitLab)
Strong conceptual and practical understanding of how Generative AI, LLMs, and ML tools can be applied to the testing lifecycle
Solid grasp of coding/scripting languages (Python, JavaScript, or Java)
Change Management: Exceptional ability to guide teams through organizational and technological shifts with empathy and clarity
Strategic Thinker: Ability to balance long-term AI innovation with the daily demands of product shipping
Communication: Crisp and compelling communication skills, capable of explaining complex AI concepts to stakeholders and engineering teams alike
What we offer
Competitive salary, equity package, and comprehensive benefits
Dedicated budget for AI tools, training, and professional development